What is model persistence in Scikit-Learn?

Model persistence saves trained models for later reuse without retraining.

Scikit-Learn uses joblib or pickle to serialize models. joblib is preferred for large NumPy arrays. Persistence ensures reproducibility and production deployment efficiency.